Skip to content
conftrace_

Optimization & Theory

43,292 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Optimization (17,731) Learning Theory (6,809) Bayesian Inference (6,267) Theory (5,579) Statistical Learning (4,564) Neural Network Optimization (4,155) Stochastic Processes (2,948) Stochastic Methods (1,283) Loss Functions (1,220) Distributed Learning (1,202) Online Algorithms (1,013) Statistics (822) Generalization (376) Information Theory (370) Sample Complexity (282) Sparse Optimization (241) Game Theory (151) Convex Optimization (132) Optimal Transport (104) Robust Optimization (84) Distributed Optimization (73) Approximation Algorithms (33)

Papers per year

1
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Methods with Local Steps and Random Reshuffling for Generally Smooth Non-Convex Federated Optimization ICLR 2025 Metric assessment protocol in the context of answer fluctuation on MCQ tasks ACL 2025 Metric Calculating Benchmark: Code-Verifiable Complicate Instruction Following Benchmark for Large Language Models EMNLP 2025 Metric Clustering and Graph Optimization Problems using Weak Comparison Oracles COLT 2025 Metric Learning in an RKHS UAI 2025 MF-LAL: Drug Compound Generation Using Multi-Fidelity Latent Space Active Learning ICML 2025 MFNeRF: Memory Efficient NeRF with Mixed-Feature Hash Table WACV 2025 MGCFNN: A Neural MultiGrid Solver with Novel Fourier Neural Network for High Wave Number Helmholtz Equations ICLR 2025 MGDA Converges under Generalized Smoothness, Provably ICLR 2025 MGM: Global Understanding of Audience Overlap Graphs for Predicting the Factuality and the Bias of News Media NAACL 2025 MGSfM: Multi-Camera Geometry Driven Global Structure-from-Motion ICCV 2025 MIA-DPO: Multi-Image Augmented Direct Preference Optimization For Large Vision-Language Models ICLR 2025 Microcanonical Langevin Ensembles: Advancing the Sampling of Bayesian Neural Networks ICLR 2025 Microfoundation inference for strategic prediction AISTATS 2025 MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework EMNLP 2025 MiLoRA: Harnessing Minor Singular Components for Parameter-Efficient LLM Finetuning NAACL 2025 MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times UAI 2025 Mind the Gap: A Closer Look at Tokenization for Multiple-Choice Question Answering with LLMs EMNLP 2025 Mind the Gap: a Spectral Analysis of Rank Collapse and Signal Propagation in Attention Layers ICML 2025 Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies EMNLP 2025 Mini-batch Coresets for Memory-efficient Language Model Training on Data Mixtures ICLR 2025 MiniKV: Pushing the Limits of 2-Bit KV Cache via Compression and System Co-Design for Efficient Long Context Inference ACL 2025 MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models ACL 2025 Minimal Ranks, Maximum Confidence: Parameter-efficient Uncertainty Quantification for LoRA EMNLP 2025 Minimal Variance Model Aggregation: A principled, non-intrusive, and versatile integration of black box models ICLR 2025